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Items: 1 to 50 of 81

1.

Radio-Frequency Identification Specimen Tracking to Improve Quality in Anatomic Pathology.

Norgan AP, Simon KE, Feehan BA, Saari LL, Doppler JM, Welder GS, Sedarski JA, Yoch CT, Comfere NI, Martin JA, Bartholmai BJ, Reichard RR.

Arch Pathol Lab Med. 2019 Jun 27. doi: 10.5858/arpa.2019-0011-OA. [Epub ahead of print]

PMID:
31246113
2.

Longitudinal prediction of outcome in idiopathic pulmonary fibrosis using automated CT analysis.

Jacob J, Bartholmai BJ, van Moorsel CHM, Rajagopalan S, Devaraj A, van Es HW, Moua T, van Beek FT, Clay R, Veltkamp M, Kokosi M, de Lauretis A, Judge EP, Burd T, Peikert T, Karwoski R, Maldonado F, Renzoni E, Maher TM, Altmann A, Wells AU.

Eur Respir J. 2019 Jun 13. pii: 1802341. doi: 10.1183/13993003.02341-2018. [Epub ahead of print] No abstract available.

PMID:
31196945
3.

Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD.

Occhipinti M, Paoletti M, Bartholmai BJ, Rajagopalan S, Karwoski RA, Nardi C, Inchingolo R, Larici AR, Camiciottoli G, Lavorini F, Colagrande S, Brusasco V, Pistolesi M.

Respir Res. 2019 May 23;20(1):101. doi: 10.1186/s12931-019-1049-3.

4.

Computed Tomography-Based Score Indicative of Lung Cancer Aggression (SILA) Predicts the Degree of Histologic Tissue Invasion and Patient Survival in Lung Adenocarcinoma Spectrum.

Varghese C, Rajagopalan S, Karwoski RA, Bartholmai BJ, Maldonado F, Boland JM, Peikert T.

J Thorac Oncol. 2019 Aug;14(8):1419-1429. doi: 10.1016/j.jtho.2019.04.022. Epub 2019 May 4.

PMID:
31063863
5.

Experimental and quantitative imaging techniques in interstitial lung disease.

Weatherley ND, Eaden JA, Stewart NJ, Bartholmai BJ, Swift AJ, Bianchi SM, Wild JM.

Thorax. 2019 Jun;74(6):611-619. doi: 10.1136/thoraxjnl-2018-211779. Epub 2019 Mar 18.

6.

Lung US Surface Wave Elastography in Interstitial Lung Disease Staging.

Zhou B, Bartholmai BJ, Kalra S, Osborn TG, Zhang X.

Radiology. 2019 May;291(2):479-484. doi: 10.1148/radiol.2019181729. Epub 2019 Mar 5.

PMID:
30835191
7.

Automated Parenchymal Pattern Analysis of Treatment Responses in Pulmonary Alveolar Proteinosis.

McCarthy C, Bartholmai BJ, Woods JC, McCormack FX, Trapnell BC.

Am J Respir Crit Care Med. 2019 May 1;199(9):1151-1152. doi: 10.1164/rccm.201810-1918IM. No abstract available.

PMID:
30822107
8.

Combined pulmonary fibrosis and emphysema as a clinicoradiologic entity: Characterization of presenting lung fibrosis and implications for survival.

Alsumrain M, De Giacomi F, Nasim F, Koo CW, Bartholmai BJ, Levin DL, Moua T.

Respir Med. 2019 Jan;146:106-112. doi: 10.1016/j.rmed.2018.12.003. Epub 2018 Dec 13.

PMID:
30665507
9.

Predicting outcomes in rheumatoid arthritis related interstitial lung disease.

Jacob J, Hirani N, van Moorsel CHM, Rajagopalan S, Murchison JT, van Es HW, Bartholmai BJ, van Beek FT, Struik MHL, Stewart GA, Kokosi M, Egashira R, Brun AL, Cross G, Barnett J, Devaraj A, Margaritopoulos G, Karwoski R, Renzoni E, Maher TM, Wells AU.

Eur Respir J. 2019 Jan 3;53(1). pii: 1800869. doi: 10.1183/13993003.00869-2018. Print 2019 Jan.

10.

High-Resolution Chest Computed Tomography Imaging of the Lungs: Impact of 1024 Matrix Reconstruction and Photon-Counting Detector Computed Tomography.

Bartlett DJ, Koo CW, Bartholmai BJ, Rajendran K, Weaver JM, Halaweish AF, Leng S, McCollough CH, Fletcher JG.

Invest Radiol. 2019 Mar;54(3):129-137. doi: 10.1097/RLI.0000000000000524.

PMID:
30461437
11.

Breathe New Life Into Your Chest CT Exams: Using Advanced Acquisition and Postprocessing Techniques.

Weber NM, Koo CW, Yu L, Bartholmai BJ, Halaweish AF, McCollough CH, Fletcher JG.

Curr Probl Diagn Radiol. 2019 Mar - Apr;48(2):152-160. doi: 10.1067/j.cpradiol.2018.10.003. Epub 2018 Oct 24.

PMID:
30449721
12.

Correction: Novel high-resolution computed tomography-based radiomic classifier for screen-identified pulmonary nodules in the National Lung Screening Trial.

Peikert T, Duan F, Rajagopalan S, Karwoski RA, Clay R, Robb RA, Qin Z, Sicks J, Bartholmai BJ, Maldonado F.

PLoS One. 2018 Oct 2;13(10):e0205311. doi: 10.1371/journal.pone.0205311. eCollection 2018.

13.

Statin as a novel pharmacotherapy of pulmonary alveolar proteinosis.

McCarthy C, Lee E, Bridges JP, Sallese A, Suzuki T, Woods JC, Bartholmai BJ, Wang T, Chalk C, Carey BC, Arumugam P, Shima K, Tarling EJ, Trapnell BC.

Nat Commun. 2018 Aug 7;9(1):3127. doi: 10.1038/s41467-018-05491-z.

14.

Computed Tomographic Biomarkers in Idiopathic Pulmonary Fibrosis. The Future of Quantitative Analysis.

Wu X, Kim GH, Salisbury ML, Barber D, Bartholmai BJ, Brown KK, Conoscenti CS, De Backer J, Flaherty KR, Gruden JF, Hoffman EA, Humphries SM, Jacob J, Maher TM, Raghu G, Richeldi L, Ross BD, Schlenker-Herceg R, Sverzellati N, Wells AU, Martinez FJ, Lynch DA, Goldin J, Walsh SLF.

Am J Respir Crit Care Med. 2019 Jan 1;199(1):12-21. doi: 10.1164/rccm.201803-0444PP. No abstract available.

15.

Development and validation of a radiological diagnosis model for hypersensitivity pneumonitis.

Salisbury ML, Gross BH, Chughtai A, Sayyouh M, Kazerooni EA, Bartholmai BJ, Xia M, Murray S, Myers JL, Lagstein A, Konopka KE, Belloli EA, Sheth JS, White ES, Holtze C, Martinez FJ, Flaherty KR.

Eur Respir J. 2018 Aug 16;52(2). pii: 1800443. doi: 10.1183/13993003.00443-2018. Print 2018 Aug.

16.

Assessment of Interstitial Lung Disease Using Lung Ultrasound Surface Wave Elastography: A Novel Technique With Clinicoradiologic Correlates.

Clay R, Bartholmai BJ, Zhou B, Karwoski R, Peikert T, Osborn T, Rajagopalan S, Kalra S, Zhang X.

J Thorac Imaging. 2019 Sep;34(5):313-319. doi: 10.1097/RTI.0000000000000334.

PMID:
29877916
17.

Assessing the inter-observer variability of Computer-Aided Nodule Assessment and Risk Yield (CANARY) to characterize lung adenocarcinomas.

Nakajima EC, Frankland MP, Johnson TF, Antic SL, Chen H, Chen SC, Karwoski RA, Walker R, Landman BA, Clay RD, Bartholmai BJ, Rajagopalan S, Peikert T, Massion PP, Maldonado F.

PLoS One. 2018 Jun 1;13(6):e0198118. doi: 10.1371/journal.pone.0198118. eCollection 2018.

18.

Novel high-resolution computed tomography-based radiomic classifier for screen-identified pulmonary nodules in the National Lung Screening Trial.

Peikert T, Duan F, Rajagopalan S, Karwoski RA, Clay R, Robb RA, Qin Z, Sicks J, Bartholmai BJ, Maldonado F.

PLoS One. 2018 May 14;13(5):e0196910. doi: 10.1371/journal.pone.0196910. eCollection 2018. Erratum in: PLoS One. 2018 Oct 2;13(10):e0205311.

19.

Predicting Outcomes in Idiopathic Pulmonary Fibrosis Using Automated Computed Tomographic Analysis.

Jacob J, Bartholmai BJ, Rajagopalan S, van Moorsel CHM, van Es HW, van Beek FT, Struik MHL, Kokosi M, Egashira R, Brun AL, Nair A, Walsh SLF, Cross G, Barnett J, de Lauretis A, Judge EP, Desai S, Karwoski R, Ourselin S, Renzoni E, Maher TM, Altmann A, Wells AU.

Am J Respir Crit Care Med. 2018 Sep 15;198(6):767-776. doi: 10.1164/rccm.201711-2174OC.

20.

Computer-Aided Nodule Assessment and Risk Yield (CANARY) may facilitate non-invasive prediction of EGFR mutation status in lung adenocarcinomas.

Clay R, Kipp BR, Jenkins S, Karwoski RA, Maldonado F, Rajagopalan S, Voss JS, Bartholmai BJ, Aubry MC, Peikert T.

Sci Rep. 2017 Dec 15;7(1):17620. doi: 10.1038/s41598-017-17659-6.

21.

Likelihood of pulmonary hypertension in patients with idiopathic pulmonary fibrosis and emphysema.

Jacob J, Bartholmai BJ, Rajagopalan S, Karwoski R, Nair A, Walsh SLF, Barnett J, Cross G, Judge EP, Kokosi M, Renzoni E, Maher TM, Wells AU.

Respirology. 2018 Jun;23(6):593-599. doi: 10.1111/resp.13231. Epub 2017 Dec 13.

22.

Short-term Automated Quantification of Radiologic Changes in the Characterization of Idiopathic Pulmonary Fibrosis Versus Nonspecific Interstitial Pneumonia and Prediction of Long-term Survival.

De Giacomi F, Raghunath S, Karwoski R, Bartholmai BJ, Moua T.

J Thorac Imaging. 2018 Mar;33(2):124-131. doi: 10.1097/RTI.0000000000000317.

PMID:
29219887
23.

Unclassifiable-interstitial lung disease: Outcome prediction using CT and functional indices.

Jacob J, Bartholmai BJ, Rajagopalan S, Egashira R, Brun AL, Kokosi M, Nair A, Walsh SLF, Karwoski R, Nicholson AG, Hansell DM, Wells AU.

Respir Med. 2017 Sep;130:43-51. doi: 10.1016/j.rmed.2017.07.007. Epub 2017 Jul 14.

24.

Serial automated quantitative CT analysis in idiopathic pulmonary fibrosis: functional correlations and comparison with changes in visual CT scores.

Jacob J, Bartholmai BJ, Rajagopalan S, Kokosi M, Egashira R, Brun AL, Nair A, Walsh SLF, Karwoski R, Wells AU.

Eur Radiol. 2018 Mar;28(3):1318-1327. doi: 10.1007/s00330-017-5053-z. Epub 2017 Sep 29.

PMID:
28963678
25.

Correlation of pulmonary function and usual interstitial pneumonia computed tomography patterns in idiopathic pulmonary fibrosis.

Arcadu A, Byrne SC, Pirina P, Hartman TE, Bartholmai BJ, Moua T.

Respir Med. 2017 Aug;129:152-157. doi: 10.1016/j.rmed.2017.06.013. Epub 2017 Jun 21.

26.

Evaluation of visual and computer-based CT analysis for the identification of functional patterns of obstruction and restriction in hypersensitivity pneumonitis.

Jacob J, Bartholmai BJ, Brun AL, Egashira R, Rajagopalan S, Karwoski R, Kouranos V, Kokosi M, Hansell DM, Wells AU.

Respirology. 2017 Nov;22(8):1585-1591. doi: 10.1111/resp.13122. Epub 2017 Jul 11.

PMID:
28699237
27.

Novel Assessment of Interstitial Lung Disease Using the "Computer-Aided Lung Informatics for Pathology Evaluation and Rating" (CALIPER) Software System in Idiopathic Inflammatory Myopathies.

Ungprasert P, Wilton KM, Ernste FC, Kalra S, Crowson CS, Rajagopalan S, Bartholmai BJ.

Lung. 2017 Oct;195(5):545-552. doi: 10.1007/s00408-017-0035-0. Epub 2017 Jul 7.

PMID:
28688028
28.

Functional and prognostic effects when emphysema complicates idiopathic pulmonary fibrosis.

Jacob J, Bartholmai BJ, Rajagopalan S, Kokosi M, Maher TM, Nair A, Karwoski R, Renzoni E, Walsh SLF, Hansell DM, Wells AU.

Eur Respir J. 2017 Jul 5;50(1). pii: 1700379. doi: 10.1183/13993003.00379-2017. Print 2017 Jul.

29.

Mycophenolate mofetil for scleroderma-related interstitial lung disease: A real world experience.

Baqir M, Makol A, Osborn TG, Bartholmai BJ, Ryu JH.

PLoS One. 2017 May 25;12(5):e0177107. doi: 10.1371/journal.pone.0177107. eCollection 2017.

30.

Chronic hypersensitivity pneumonitis: identification of key prognostic determinants using automated CT analysis.

Jacob J, Bartholmai BJ, Egashira R, Brun AL, Rajagopalan S, Karwoski R, Kokosi M, Hansell DM, Wells AU.

BMC Pulm Med. 2017 May 4;17(1):81. doi: 10.1186/s12890-017-0418-2.

31.

Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis.

Jacob J, Bartholmai BJ, Rajagopalan S, Karwoski R, Mak SM, Mok W, Della Casa G, Sugino K, Walsh SLF, Wells AU, Hansell DM.

Eur Radiol. 2017 Sep;27(9):3635-3646. doi: 10.1007/s00330-016-4697-4. Epub 2017 Jan 27.

PMID:
28130610
32.

Evaluation of computer-based computer tomography stratification against outcome models in connective tissue disease-related interstitial lung disease: a patient outcome study.

Jacob J, Bartholmai BJ, Rajagopalan S, Brun AL, Egashira R, Karwoski R, Kokosi M, Wells AU, Hansell DM.

BMC Med. 2016 Nov 23;14(1):190.

33.

Comparison of Total Lung Capacity Determined by Plethysmography With Computed Tomographic Segmentation Using CALIPER.

Matsumoto AJ, Bartholmai BJ, Wylam ME.

J Thorac Imaging. 2017 Mar;32(2):101-106. doi: 10.1097/RTI.0000000000000249.

PMID:
27870822
34.

Appreciating the shades of gray: a case for Computer-Aided Nodule Assessment and Risk Yield (CANARY)-based risk stratification of lung adenocarcinomas.

Maldonado F, Peikert T, Bartholmai BJ, Rajagopalan S, Karwoski RA.

J Thorac Dis. 2016 Oct;8(10):E1438-E1440. No abstract available.

35.

Mortality prediction in idiopathic pulmonary fibrosis: evaluation of computer-based CT analysis with conventional severity measures.

Jacob J, Bartholmai BJ, Rajagopalan S, Kokosi M, Nair A, Karwoski R, Walsh SL, Wells AU, Hansell DM.

Eur Respir J. 2017 Jan 25;49(1). pii: 1601011. doi: 10.1183/13993003.01011-2016. Print 2017 Jan.

36.

Predictors of idiopathic pulmonary fibrosis in absence of radiologic honeycombing: A cross sectional analysis in ILD patients undergoing lung tissue sampling.

Salisbury ML, Xia M, Murray S, Bartholmai BJ, Kazerooni EA, Meldrum CA, Martinez FJ, Flaherty KR.

Respir Med. 2016 Sep;118:88-95. doi: 10.1016/j.rmed.2016.07.016. Epub 2016 Jul 28.

37.

Computer-Aided Nodule Assessment and Risk Yield Risk Management of Adenocarcinoma: The Future of Imaging?

Foley F, Rajagopalan S, Raghunath SM, Boland JM, Karwoski RA, Maldonado F, Bartholmai BJ, Peikert T.

Semin Thorac Cardiovasc Surg. 2016 Spring;28(1):120-6. doi: 10.1053/j.semtcvs.2015.12.015. Epub 2016 Jan 8.

38.

Automated Quantitative Computed Tomography Versus Visual Computed Tomography Scoring in Idiopathic Pulmonary Fibrosis: Validation Against Pulmonary Function.

Jacob J, Bartholmai BJ, Rajagopalan S, Kokosi M, Nair A, Karwoski R, Raghunath SM, Walsh SL, Wells AU, Hansell DM.

J Thorac Imaging. 2016 Sep;31(5):304-11. doi: 10.1097/RTI.0000000000000220.

PMID:
27262146
39.

Recombinant human pentraxin-2 therapy in patients with idiopathic pulmonary fibrosis: safety, pharmacokinetics and exploratory efficacy.

van den Blink B, Dillingh MR, Ginns LC, Morrison LD, Moerland M, Wijsenbeek M, Trehu EG, Bartholmai BJ, Burggraaf J.

Eur Respir J. 2016 Mar;47(3):889-97. doi: 10.1183/13993003.00850-2015. Epub 2016 Feb 11.

40.

Syntactic and semantic errors in radiology reports associated with speech recognition software.

Ringler MD, Goss BC, Bartholmai BJ.

Health Informatics J. 2017 Mar;23(1):3-13. doi: 10.1177/1460458215613614. Epub 2016 Jul 26.

PMID:
26635322
41.

Sensitivity of Thoracic Digital Tomosynthesis (DTS) for the Identification of Lung Nodules.

Langer SG, Graner BD, Schueler BA, Fetterly KA, Kofler JM, Mandrekar JN, Bartholmai BJ.

J Digit Imaging. 2016 Feb;29(1):141-7. doi: 10.1007/s10278-015-9818-0.

42.

Syntactic and Semantic Errors in Radiology Reports Associated With Speech Recognition Software.

Ringler MD, Goss BC, Bartholmai BJ.

Stud Health Technol Inform. 2015;216:922.

PMID:
26262224
43.

The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload.

McDonald RJ, Schwartz KM, Eckel LJ, Diehn FE, Hunt CH, Bartholmai BJ, Erickson BJ, Kallmes DF.

Acad Radiol. 2015 Sep;22(9):1191-8. doi: 10.1016/j.acra.2015.05.007. Epub 2015 Jul 22.

PMID:
26210525
44.

Noninvasive Computed Tomography-based Risk Stratification of Lung Adenocarcinomas in the National Lung Screening Trial.

Maldonado F, Duan F, Raghunath SM, Rajagopalan S, Karwoski RA, Garg K, Greco E, Nath H, Robb RA, Bartholmai BJ, Peikert T.

Am J Respir Crit Care Med. 2015 Sep 15;192(6):737-44. doi: 10.1164/rccm.201503-0443OC.

45.

Pulmonary nodule characterization, including computer analysis and quantitative features.

Bartholmai BJ, Koo CW, Johnson GB, White DB, Raghunath SM, Rajagopalan S, Moynagh MR, Lindell RM, Hartman TE.

J Thorac Imaging. 2015 Mar;30(2):139-56. doi: 10.1097/RTI.0000000000000137. Review.

PMID:
25658478
46.

Methods and challenges in quantitative imaging biomarker development.

Abramson RG, Burton KR, Yu JP, Scalzetti EM, Yankeelov TE, Rosenkrantz AB, Mendiratta-Lala M, Bartholmai BJ, Ganeshan D, Lenchik L, Subramaniam RM.

Acad Radiol. 2015 Jan;22(1):25-32. doi: 10.1016/j.acra.2014.09.001. Review.

47.

Clinical utility of quantitative imaging.

Rosenkrantz AB, Mendiratta-Lala M, Bartholmai BJ, Ganeshan D, Abramson RG, Burton KR, Yu JP, Scalzetti EM, Yankeelov TE, Subramaniam RM, Lenchik L.

Acad Radiol. 2015 Jan;22(1):33-49. doi: 10.1016/j.acra.2014.08.011. Epub 2014 Oct 22. Review.

48.

Noninvasive risk stratification of lung adenocarcinoma using quantitative computed tomography.

Raghunath S, Maldonado F, Rajagopalan S, Karwoski RA, DePew ZS, Bartholmai BJ, Peikert T, Robb RA.

J Thorac Oncol. 2014 Nov;9(11):1698-703. doi: 10.1097/JTO.0000000000000319.

49.

Active relearning for robust supervised training of emphysema patterns.

Raghunath S, Rajagopalan S, Karwoski RA, Bartholmai BJ, Robb RA.

J Digit Imaging. 2014 Aug;27(4):548-55. doi: 10.1007/s10278-014-9686-z.

50.

Quantitative stratification of diffuse parenchymal lung diseases.

Raghunath S, Rajagopalan S, Karwoski RA, Maldonado F, Peikert T, Moua T, Ryu JH, Bartholmai BJ, Robb RA.

PLoS One. 2014 Mar 27;9(3):e93229. doi: 10.1371/journal.pone.0093229. eCollection 2014.

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